What you'll do...

Position: Principal Data Analyst

Job Location: 811 Excellence Dr., Bentonville, AR 72712

Duties: Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring progress and adjusting performance; accordingly, developing contingency plans; and demonstrating adaptability and supporting continuous learning. Ensure business needs are being met by evaluating the ongoing effectiveness of current plans, programs, and initiatives; consulting with business partners, managers, co-workers, or other key stakeholders; soliciting, evaluating, and applying suggestions for improving efficiency and cost effectiveness; and participating in and supporting community outreach events. Tech. Problem Formulation: Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To analyze the business problem within one's discipline and questions assumptions to help the business identify the root cause. Identify and recommend approaches to resolve the business problem to create effective technology focused solutions. Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution. Quantify business impact. Data Source Identification: Functional business domain and scenarios; Categories of data and where it is held; Business data requirements; Database technologies and distributed datastores (e.g., SQL, NoSQL); Data Quality; Existing business systems and processes, including the key drivers and measures of success. To understand the priority order of requirements and service level agreements. Define and identify the most suitable sources for required data that are fit for purpose, referring to external sources as required. Perform initial data quality checks on the extracted data. Understanding Business Context: Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and align them to business strategy and objectives and drives the execution of deliverables. Build and articulate the business case and return on investment and deliver work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Mentor the team members on new business insights and allied developments. Proactively engage in the external community to build Walmart's brand and learn more about industry practices. Data Visualization: Visualization guidelines and best practices for complex data types; Multiple data visualization tools (for example, Python, R libraries, GGplot, Matplotlib, Ploty, Tableau, PowerBI etc.); Advanced visualization techniques/ tools; Multiple story plots and structures (OABCDE); Communication & influencing technique; Emotional intelligence. To identify and recommend the most suitable visualization tools based on context. Generate appropriate graphical representations of data and model outcomes.

Minimum education and experience required: Bachelor's degree or the equivalent in Engineering (any), Statistics, Analytics, or related field plus 4 years of experience in data analysis or related area; OR Master's degree or the equivalent in Engineering (any), Statistics, Analytics, or related field plus 2 years of experience in data analysis or related area.

Skills Required: Must have experience with: Advanced data modeling, sophisticated Power Query (M language) for ETL, Performance optimization by using various tools including DAX studio, Tabular Editor and Vertipaq Analyze, robust security and governance; Power BI Service, advanced data visualization techniques including custom visuals and advanced analytics, and integration with other services including Azure and SQL Server, Building dataflows, deployment pipelines, Workspace management and license administration; Google Big Query, Dataflows, Airflow and DAG; Python; Data Modelling; Advanced SQL; Data warehousing Concepts; Tableau, ThoughtSpot for self-service analytics; Data Storytelling and Communication; Data Visualization Expertise and OBIEE for Enterprise and analytics; Project Management; Strategic Business Acumen. Employer will accept any amount of experience with the required skills.

Rate of pay: $113,589.00 - 180,000.00/year